Moweaqua, IL
Moweaqua wildfire risk explained
Moweaqua sits at the 6th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,241 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Moweaqua at the 6th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 96.1% of Moweaqua's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Moweaqua ranks
Compare Moweaqua's two percentiles: 31st within Illinois, only 6th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Moweaqua ranks 29,744 for wildfire risk (1 is highest) and 10,397 by building count (1 is largest). Within Illinois alone, it ranks 1,005 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Moweaqua's low wildfire rating (6th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Moweaqua
Even with 96.1% of Moweaqua outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Moweaqua's figures come from
Moweaqua's 6th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Moweaqua's dominant minimal exposure actually means, with real examples from across the dataset.